The safety of vedolizumab for the treatment of ulcerative colitis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Vedolizumab is a humanized monoclonal antibody to the α4β7-integrin that blocks lymphocyte trafficking to the gut and is approved for treatment of patients with moderate-to-severe ulcerative colitis (UC). The gut-selective mechanism of action has the potential to improve vedolizumab's safety profile compared to other approved biologic drugs. Areas covered: We review the mechanism of action, efficacy and safety of vedolizumab treatment for UC. The positioning of vedolizumab in management algorithms is also discussed. Expert opinion: The highly selective mechanism of action of vedolizumab restricts immunosuppressive effects to the gut. Vedolizumab is efficacious as induction and maintenance therapy in UC patients who are naïve or refractory to tumor necrosis factor antagonists. No clinically important safety signals have been identified. Infusion reactions are reported in <5% of cases. The rates of adverse events (AE), serious AEs, and serious infections were not different between patients treated with placebo and those who received vedolizumab in a pooled analysis of six randomized controlled trials. Rates of malignancy and mortality in vedolizumab-exposed patients are similar to those of the general UC patient population. Progressive multifocal leukoencephalopathy has not been observed. Vedolizumab is a safe and effective therapy for UC with a unique mechanism of action.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it